In the past, in the domain of human movement, athletes, dancers and rehabilitation relied heavily on experts to judge whether or not learners' movements were correct, and offered suggestions for improvement. By way of modern science and technology, analyses via sensors can determine the motion of each body region. Our research is based on the Laban Movement Analysis (LMA) of dance, where data from several sensors are analyzed. According to the aforementioned sensor data, we can examine the efforts made by learners' movements. In this paper, we use LMA sudden and sustained efforts to analyze these movements and construct a guiding language system in accordance with expert guiding language already available. This system will provide suggestions for students even in the absence of expert advice. In this way, learners can learn in such a self-taught way.